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Lead AI Software Engineer

54 minutes ago
United States
Full-time
Lead
AI Engineer
Software Development
Apache Spark AWS Celery CI/CD Django FastAPI Hadoop Kafka Kubernetes Machine Learning Python RabbitMQ Redis Reinforcement Learning SQLAlchemy XGBoost
Apply Now
Klaviyo

Klaviyo

Klaviyo offers intelligent email marketing, SMS, and automation services for ecommerce businesses, empowering brands to personalize customer interactions and drive growth.

IT Services
1K-5K
Founded 2012
View All Jobs 15

Description

  • Lead the design and development of backend and machine learning systems that scale to serve 182,000+ customers.
  • Build reliable and efficient data processing and model-serving pipelines for production ML models.
  • Develop and optimize predictive systems such as conversion likelihood, engagement ranking, personalization, and anomaly detection.
  • Architect systems and services that let AI agents learn and improve autonomously from reward or outcome signals.
  • Collaborate cross-functionally to translate business challenges into scalable, measurable machine learning solutions.
  • Work with software engineers and product managers to turn predictive models into customer-facing product features.
  • Mentor engineers and help evolve machine learning engineering best practices, tooling, and architecture.
  • Foster a culture of ownership, experimentation, and data-driven innovation across teams.

Requirements

  • 7–10 years of experience in machine learning engineering or applied software engineering, with a focus on classical ML and predictive modeling.
  • Deep understanding of supervised learning methods such as random forests, XGBoost, logistic regression, and ensemble techniques.
  • Proven experience building and scaling production-grade ML systems end to end, including data pipelines, training, deployment, and monitoring.
  • Experience as a backend engineer working with distributed systems and high-scale architectures.
  • Proficiency in Python and modern frameworks such as FastAPI or Django, preferred.
  • Experience with big data and streaming technologies such as Apache Spark, Kafka, and Hadoop.
  • Hands-on experience with asynchronous processing and distributed task queues such as Celery, SQS, RabbitMQ, and Redis.
  • Strong understanding of databases and ORMs such as SQLAlchemy and Alembic, plus cloud-native architectures including AWS, Kubernetes, and CI/CD.
  • Excellent communication skills with the ability to set technical direction, influence product strategy, and mentor junior engineers.
  • Experience training and deploying ML models in production environments that produced measurable impact, preferred.
  • Familiarity with reinforcement learning or agentic AI systems that adapt from outcome or reward signals, preferred.

Benefits

  • Base salary range of $176,000 to $264,000 USD.
  • Participation in the company’s annual cash bonus plan.
  • Equity and sign-on payments may be included in total compensation.
  • Comprehensive health, welfare, and wellbeing benefits, subject to eligibility.
  • Up to 10% travel for onboarding, partner work, team meetings, and industry events, coordinated in advance.
  • Support for accommodations as needed.
  • Commitment to an equal opportunity and non-discrimination workplace.

Interested in this position?

Apply directly on the company website

Apply Now

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